bertweet-base-sentiment-analysis vs Qwen2.5-1.5B-apeach
Specs, VRAM requirements and download trends — updated 6 August 2026.
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | bertweet-base-sentiment-analysis | Qwen2.5-1.5B-apeach |
|---|---|---|
| Parameters | — | 1.5 B |
| Architecture | RobertaForSequenceClassification | Qwen2ForSequenceClassification |
| Context length | 128 | 131,072 |
| Licence | — | — |
| Commercial use | Unknown | Unknown |
| Languages | 1 | — |
| Downloads 30d | 1,483,885 | 431,391 |
| Downloads all time | 36.6 M | 3.4 M |
| Quantizations on the Hub | — | SAFETENSORS |
| Gated | No | No |
| First seen on the Hub | 2022-03-02 | 2024-10-24 |
Download trend
Daily snapshots, last 10 days (28 Jul – 6 Aug)
1.5 M412 K
bertweet-base-sentiment-analysis
Qwen2.5-1.5B-apeach
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
Qwen2.5-1.5B-apeach · fp16 @ 128K ctx
11.0 GB / 24 GB
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